Every company has procedures, documentation, and reports. But do processes really look the way they’re described on paper? From our experience – not quite.
In this episode of AI Automation Dojo, Andrzej Kinastowski talks with Michał Kozubski (Office Samurai) about productivity mining and process discovery. With tools like KYP AI, organizations can finally see how work is actually being done – and use that data to improve efficiency, balance workload, or identify automation opportunities.
In the conversation we cover:
🔸 Why companies invest in productivity mining – and what benefits they expect
🔸 The gap between “documented processes” and “real-life processes”
🔸 What productivity mining uncovers (hidden apps, endless copy-paste, overloaded teams)
🔸 Using data to redistribute work and improve team efficiency
🔸 How to address employee concerns and show it’s not about surveillance
🔸 Challenges around people, processes, technology, and data security
🔸 How AI supports analysis and points to potential improvements
